Purpose-built kernel agents can write high-performance GPU kernels, but existing systems generally lack cross-run knowledge accumulation and architectural evolution. Each run starts from the same initial knowledge, and later iterations largely optimize within an architecture fixed early in the search. We present ForgeK...
Yao-Jian Chen, Da-Zhi Peng, Yin Zheng et al.· 0 citations
Large Language Models (LLMs) have greatly assisted legal professionals. However, our empirical studies reveal that, when faced with underspecified consultations from non-experts, current LLMs often produce irresponsible responses with limited utility despite lacking sufficient case details for definitive conclusions. T...
Wen-Bin Zhang, Sha Li, Bing-Xiang He et al.· 0 citations
Autonomous agents increasingly depend on harnesses that govern interaction, memory, tools, and execution around large language models (LLMs). While recent work has begun to evolve these harnesses from execution experience, the supervision used to guide evolution often remains relatively static, making it difficult to t...
Hao Chen, Yu-Kun Yan, Zi-Yu Han et al.· 0 citations
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